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A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
(MDPI, 2014)
Airborne laser scanner (ALS) data provide an enhanced capability to remotely map two key variables in forestry: leaf area index (LAI) and tree height (H). Nevertheless, the cost, complexity and accessibility of this ...
Early diagnosis of vegetation health from high-resolution hyperspectral and thermal imagery: lessons learned from empirical relationships and radiative transfer modelling
(Springer, 2019)
Purpose of Review We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to ...
Divergent abiotic spectral pathways unravel pathogen stress signals across species
(Springer Nature, 2021)
Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s ...
Deriving predictive relationships of carotenoid content at the canopy level in a conifer forest using hyperspectral imagery and model simulation
(IEEE, 2014)
Recent studies have demonstrated that the R570/R515 index is highly sensitive to carotenoid (Cx + c) content in conifer forest canopies and is scarcely influenced by structural effects. However, validated methods for the ...
Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations
(Science Direct, 2012)
The present study explored the use of narrow-band indices formulated in the visible spectral region at leaf and canopy levels to estimate carotenoid content. The research area was a pine forest affected by decline processes. ...
Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)
(Science Direct, 2013)
Chlorophyll a+b (Ca+b) and carotenoids (Cx+c) are leaf pigments associated with photosynthesis, participation in light harvesting and energy transfer, quenching and photoprotection. This manuscript makes progress on ...
Assessing structural effects on PRI for stress detection in conifer forests
(Science Direct, 2011)
The retrieval of indicators of vegetation stress from remote sensing imagery is an important issue for the accurate assessment of forest decline. The Photochemical Reflectance Index (PRI) has been demonstrated as a ...
Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure
(Science Direct, 2017)
Sun-induced fluorescence (SIF) has been proven to serve as a proxy of photosynthesis activity and therefore, as an early indicator of physiological alterations for global monitoring of vegetation. However, the interpretation ...
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
(Nature, 2018)
Plant pathogens cause significant losses to agricultural yields and increasingly threaten food security1, ecosystem integrity and societies in general2,3,4,5. Xylella fastidiosa is one of the most dangerous plant bacteria ...
Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
(Science Direct, 2021)
Holm oak decline is a complex phenomenon mainly influenced by the presence of Phytophthora cinnamomi and water stress. Plant functional traits (PTs) are altered during the decline process — initially affecting the physiological ...